AI Articles and Analysis about Process automation

This article was written by Sudhir Jha (Senior Vice President & Global Head of Product Management and Strategy), and was edited and created in partnership with Infosys. For more information about content and promotional partnerships with Emerj, visit the Emerj Partnerships page.

Episode summary: Most NLP applications we hear about involve marketing, customer service, and other customer-facing functions - but that there are NLP-related opportunities in other back-end functions as well.  

In a white paper about the digitalization of the chemistry and advanced materials sector published by the World Economic Forum and Accenture, total global chemical sales in 2014 amounted to $3.5 trillion and is expected to rise to $6.9 trillion by 2030.

Episode Summary: Natural Language Processing (NLP) can be applied to tasks such as customer service handling or in chatbots to answer fact based questions. Another emerging application for NLP is in content marketing and content production.

A 2017 Tractica report on the natural language processing (NLP) market estimates the total NLP software, hardware, and services market opportunity to be around $22.3 billion by 2025. The report also forecasts that NLP software solutions leveraging AI will see a market growth from $136 million in 2016 to $5.4 billion by 2025.

Depression is a leading mental disorder impacting about 16 million Americans. According to the World Health Organization, the annual global economic impact of depression is estimated at $1 trillion and is projected to be the leading cause of disability by 2020.

Though in its nascency, the Indian banking sector is beginning to adopt artificial intelligence (AI). While large commercial and investment banks globally are incorporating AI and blockchain for both back-office and customer-facing purposes, in India, widespread adoption of these technologies has not yet come to fruition. 

Machine translation has significantly evolved over time, especially in terms of accuracy levels in its output.